New Developments for Journal Package Analysis and Data Visualization
The presenters demonstrated the most recent results and insights from a long-running, iterative Collection Management Technology (CMT) project. Demonstrations included a journal package level analysis report, an interactive subject analysis report, several data visualization designs for journal pack...
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| Published in | The Serials librarian Vol. 82; no. 1-4; pp. 27 - 34 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Taylor & Francis LLC
2022
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| Subjects | |
| Online Access | Get full text |
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| Abstract | The presenters demonstrated the most recent results and insights from a long-running, iterative Collection Management Technology (CMT) project. Demonstrations included a journal package level analysis report, an interactive subject analysis report, several data visualization designs for journal package analysis, and a program to automate report production, including data visualizations. Finally, the current, cyclical journal collection review process was compared to a past cycle to highlight how the CMT team’s development priorities have changed. Instead of focusing primarily on efficiency and information yield in the tools they build, the team has now prioritized the development of tools that enable interaction with the data and broaden understanding. |
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| AbstractList | The presenters demonstrated the most recent results and insights from a long-running, iterative Collection Management Technology (CMT) project. Demonstrations included a journal package level analysis report, an interactive subject analysis report, several data visualization designs for journal package analysis, and a program to automate report production, including data visualizations. Finally, the current, cyclical journal collection review process was compared to a past cycle to highlight how the CMT team’s development priorities have changed. Instead of focusing primarily on efficiency and information yield in the tools they build, the team has now prioritized the development of tools that enable interaction with the data and broaden understanding. |
| Author | Lienemann, Pat Rusch, Evan Gustafson-Sundell, Nat Andradi, Luwis Rosamond, Jeff |
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| Copyright | Published with license by Taylor & Francis Group, LLC. 2022 |
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